Question

With regard to grouping quantitative data into classes in which each class represents a range of possible values, we discussed two methods for depicting the classes. Identify the two methods and explain the relative advantages and disadvantages of each method.

Short answer

Limit grouping and Cut-point grouping are the two ways for displaying the quantitative data set.

Step-by-step solution

Given information

Given in the question that, with regard to grouping quantitative data into classes in which each class represents a range of possible values,

we need to find two methods for depicting the classes and also identify the two methods and explain the relative advantages and disadvantages of each method.

Step 2:Limit Grouping

Limit grouping : To group quantitative data, class limits are used. Each class is comprised of a variety of values. The lowest value that can be supplied is the class's lower limit, and the largest number that can be entered is the class's upper limit. Limit grouping is a method of categorising quantitative data.

This strategy is appropriate whenever the data is represented as a whole as well numbers and there's too many dependent variable to use real valued grouping.

Cut point grouping

Cut-point grouping: To group quantitative data, utilise class cut-points, which consist of a range of values for each class. Lower cut-points are the smallest values that could fit in a class, whereas upper cut-points are the smallest values that could fit in the next higher class.

Cut-points grouping is a way of categorising quantitative data using cut-points.

Limit grouping and cut-point grouping are the two approaches for presenting quantitative data sets, and their pros and disadvantages are stated above.